<p>Histograms of angles features for the choreography2 dataset.</p> <p>See https://github.com/omangin/multimodal/blob/master/features/angle_histograms.py.</p> <p>Mangin, P.Y. Oudeyer, <strong>Learning semantic components from sub symbolic multi modal perception</strong><em>to appear in the Joint IEEE International Conference on Development and Learning an on Epigenetic Robotics (ICDL EpiRob)</em>, Osaka (Japan) (2013) (More information, bibtex)</p
Schmüdderich JM. Multimodal learning of grounded concepts in embodied systems. Berichte aus der Robo...
Reinhart F, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural assoc...
People learn modality-independent, conceptual representations from modality-specific sen-sory signal...
Histograms of angles features for the choreography2 dataset. See https://github.com/omangin/multimo...
2018-03-02This work develops a new unsupervised learning rule and framework for learning rotation, s...
In this paper, we present a case study showing why the modeling effort of computa-tional neuro-scien...
Machine learning can o er an increase in the exibility and applicability of robotics at several leve...
Abstract—Perceptual systems often include sensors from sev-eral modalities. However, existing robots...
Attention is a concept of human perception that enables human subjects to select the potentially rel...
Continuous learning is an approach to machine learning where an algorithm is trained to perform diff...
Semantic language resources are increasingly being used beyond language technology applications to c...
We contribute a learning from demonstration approach for robots to acquire skills from multi-modal h...
This thesis primarily investigates the potential of the Pairwise Geometric Histogram (PGH) represent...
Machine learning can offer an increase in the flexibility and applicability of robotics at several l...
Learning representations of multimodal data that are both informative and robust to missing modaliti...
Schmüdderich JM. Multimodal learning of grounded concepts in embodied systems. Berichte aus der Robo...
Reinhart F, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural assoc...
People learn modality-independent, conceptual representations from modality-specific sen-sory signal...
Histograms of angles features for the choreography2 dataset. See https://github.com/omangin/multimo...
2018-03-02This work develops a new unsupervised learning rule and framework for learning rotation, s...
In this paper, we present a case study showing why the modeling effort of computa-tional neuro-scien...
Machine learning can o er an increase in the exibility and applicability of robotics at several leve...
Abstract—Perceptual systems often include sensors from sev-eral modalities. However, existing robots...
Attention is a concept of human perception that enables human subjects to select the potentially rel...
Continuous learning is an approach to machine learning where an algorithm is trained to perform diff...
Semantic language resources are increasingly being used beyond language technology applications to c...
We contribute a learning from demonstration approach for robots to acquire skills from multi-modal h...
This thesis primarily investigates the potential of the Pairwise Geometric Histogram (PGH) represent...
Machine learning can offer an increase in the flexibility and applicability of robotics at several l...
Learning representations of multimodal data that are both informative and robust to missing modaliti...
Schmüdderich JM. Multimodal learning of grounded concepts in embodied systems. Berichte aus der Robo...
Reinhart F, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural assoc...
People learn modality-independent, conceptual representations from modality-specific sen-sory signal...
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